As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.

Key responsibilities include:

• Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives
• Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution
• Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes
• Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally
• Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Core qualifications include:

• 8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams
• Excellent written and verbal communication skills

Nice-to-have qualifications include:

• Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments
• Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale
• Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes

Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.

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The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

Key responsibilities include:

• Contributing to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.
• Designing and developing ML and Generative AI systems in cloud-based production environments at scale.
• Building and managing enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
• Implementing and operationalizing agentic AI workflows with tool use using frameworks such as LangChain and LangGraph.
• Driving adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management.
• Establishing best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production.

The ideal candidate will have:

• 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• Experience operating orchestration systems such as Kubernetes at scale.
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more.
• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders.
• Strong focus on scalability, reliability, performance, and ease of use.

Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health & coaching benefits, flexible vacation & paid volunteer time off, and generous paid parental leave.

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You will be responsible for coordinating and executing complex, multi-team technology and operational initiatives, interpreting technical data, mapping workflows, and driving continuous process improvements. You will also be an expert in managing project timelines, resource planning, and ensuring clear communication with all stakeholders.

In this role, you will work closely with the DC (Data Center) Program and Cost Management team to ensure strategic program objectives are translated into successful outcomes and the cost structure of building and managing data centers is optimized.

CoreWeave is a rapidly growing company that is looking for a highly skilled and experienced professional to join our team. We offer a competitive salary range of $157,000 to $210,000, a discretionary bonus, equity awards, and a comprehensive benefits program.

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Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.

Lead and execute the vision, strategy, and roadmap for Reddit's large-scale GenAI Platform.

Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.

Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.

Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.

Shape Reddit's approach to an enterprise-grade RAG system.

Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform.

Own the end-to-end platform strategy from concept through production adoption and long-term evolution.

Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.

Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems.

Partner across engineering, product, and leadership to align platform investments with company priorities and user needs.

Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.

Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.

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You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers.

Given the opportunity and the organisations that you will be working with, you must be a current holder of Security clearance.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• The ability to easily pivot from delivery to strategic engagements with customers
• To work with the wider Elastic organisation to support the customer’s goals, their strategic requirements and their journey with Elastic.
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders either in one or a number of customers with common goals.
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers’ most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions.
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

What You Bring Along:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years’ experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life,map

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In this role, you will develop, test, and deploy backend, frontend, and client-side applications for internal use at Twilio. You will collaborate with teammates and guest contributors via peer reviews, planning exercises, and pair programming. You will also mentor junior engineers as necessary, write tickets, testing plans, and runbooks for the team, as well as internal documentation for users.

You will support internal users and ensure system uptime by participating in a 24x7 weekly on-call rotation. You will continuously improve Twilio's internal developer platform interfaces, local development tools, and platform onboarding processes. You will independently own medium-sized features, authoring specifications and designs for features of moderate complexity.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

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You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• Own the product roadmap for AI platform areas , defining what we build, why, and in what order , to accelerate customer adoption of AI and ML in production.
• Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• Partner closely with engineering teams to make deeply technical decisions about ML infrastructure , from distributed training architectures to real-time serving systems.
• Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

As a Staff Product Manager, Applied AI, you will define and execute Plaid's external AI strategy for developers and Plaid's customers. You will ensure Plaid is easy to use within AI-native applications, agent workflows, and AI coding environments. You will build developer-facing AI capabilities, shape ecosystem integrations, and drive AI-attributed growth.

Responsibilities

• Define and ship Plaid's AI-ready developer MCP.
• Build a CLI optimized for agent and LLM invocation.
• Improve AI-readability and usability of Plaid documentation and SDKs.
• Design lightweight hobbyist permissioning infrastructure.
• Partner with Go-To-Market to size AI-native opportunities.
• Launch ecosystem integrations and AI platform partnerships.
• Define metrics and measure AI-attributed developer growth.
• Influence long-term AI platform strategy at Plaid.

Qualifications

• 5+ years of product management experience.
• Experience with AI platforms, LLMs, or developer AI tooling.
• Experience building developer-facing products (APIs, SDKs, platform tooling).
• Strong technical fluency and ability to work with engineers on platform architecture.
• Track record of shipping 0>1 initiatives.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with a diverse workforce, operating in various locations including France, USA, UK, Germany, and Singapore.

Role Summary

As part of Mistral's expansion in North Africa, we are hiring a Senior Account Manager to lead and grow our most strategic accounts in Morocco, spanning large enterprises and public sector institutions.

Responsibilities

Strategic Account Ownership & Value-Based Selling

• Own and grow a portfolio of strategic enterprise and public sector accounts, with existing and future contracts in the €1M+ ACV range.

• Act as a trusted advisor to C-level and senior executives (CEO, CIO, CDO, CTO, Transformation Directors).

• Define multi-year account strategies and transformation roadmaps, aligned with clients' business priorities, regulatory constraints, and digital ambitions.

• Lead complex deal structures focused on business value, ROI, and long-term impact, rather than transactional SaaS sales.

Relationship & Stakeholder Leadership

• Build durable, executive-level relationships across complex organizations (banks, industrial groups, ministries, agencies).

• Navigate multi-stakeholder environments involving IT, security, compliance, procurement, and executive sponsors.

• Act as the voice of the customer internally, ensuring strong alignment with product, engineering, legal, and leadership teams.

• Lead Executive Reviews and strategic steering committees with clients.

Expansion, Transformation & Delivery Success

• Identify expansion opportunities (new use cases, departments, subsidiaries, agencies) within existing accounts.

• Collaborate closely with technical and product teams to ensure successful deployments and adoption.

• Support customers through large-scale AI transformation programs (on-prem, sovereign cloud, regulated environments).

• Contribute to Mistral's long-term positioning in Morocco as a trusted AI partner, not just a technology vendor.

About You

• 8+ years of experience in senior account management, consulting, or enterprise sales roles involving complex, high-value deals.

• Strong exposure to value-based selling and transformational sales, ideally beyond a pure transactional SaaS model.

• Proven experience managing large, strategic accounts over multiple years, with C-level engagement.

• Background in management consulting is highly appreciated.

• Strong understanding of banking or financial services is a plus (experience with major banking groups such as AWB is an advantage).

• Comfortable selling and positioning deep tech solutions (AI platforms, data, cloud, infrastructure) to both business and technical leaders.

• Excellent stakeholder management skills, structured, credible, calm, and impact-driven.

• Entrepreneurial mindset with the ability to operate in a fast-scaling, high-ownership environment.

• Fluent in Arabic and English; Arabic is a strong plus depending on client context.

Benefits

Transportation: Allowance public transportation allowance or Parking charges reimbursed

Sport: Allowance for gym membership allowance

Meal: Allowance for meals (solution might evolve as we grow bigger)

Health Insurance

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We are seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams.

As a Technical Support Engineer, you will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Responsibilities:

• Resolve technical issues and provide advanced support directly to customers, including support for fal's platform (APIs, UI issues, and troubleshooting errors).
• Support users across multiple products via email, chat, and Slack.
• Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
• Analyze API logs, error messages, and request/response payloads to identify root causes.
• Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
• Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
• Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
• Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
• Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
• Improve developer documentation to make integration as self-serve as possible.

What You Bring:

• Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
• Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
• Experience using monitoring, logging, and observability tools to support production systems.
• Familiarity with AI platforms, machine learning systems, or data-intensive applications.
• Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
• Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
• Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
• Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
• Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
• Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
• Familiarity with tools such as Slack, Linear, Notion, and GitHub.
• Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.

Why fal:

At fal, you'll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal:

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• Regular team events and offsites

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Team Function:

The CAS (Customer Agent Solutions) Digital Service Operations team manages the E2E digital service operations for all digital channels. The team collaborates with multiple cross-functional teams and bridges the gap between strategic goals and daily execution by day-to-day management of performance monitoring, defect management, optimization testing, infra and capabilities functions to ensure operations delivers on its daily/weekly/monthly handling objectives. Works as liaison between product and technology operations to reach the forecasted KPI targets for digital service customer experiences.

Role Description:

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

As a Digital Product Operations Manager, you will:

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.

• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.

• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.

• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.

• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.

• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.

• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.

• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.

• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.

• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.

• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.

• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities:

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.

• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.

• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.

• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.

• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.

• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.

• Advanced project and process management experience. Agile preferred.

• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.

• Master’s degree preferred in Management, Analytics, Artificial Intelligence.

• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).

• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.

• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills:

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.

• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.

• Strong understanding of AI ethics, governance, and responsible AI frameworks.

• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.

• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.

• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.

• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills:

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).

• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.

• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.

• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.

• Good proficiency or practical experience of A/B Testing tools.

• Agile tools such as Jira, Rally etc.

• Understanding of Contact center and CMS tools.

• Excel - Intermediate/Advanced. Proficiency in Microsoft 365

• Power BI (Highly Preferred)

Requirements:

Must to have Skiils:

• Digital Performance monitoring
• Data analytics & visualization
• Predictive Analytics & Infrastructure scaling
• Crash/Anomaly Detection
• Bundle Optimization

Benefits:

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses

1. Comprehensive benefits package

1. Career development and training opportunities

1. Flexible work arrangements (remote and/or office-based)

1. Dynamic and inclusive work culture within a globally renowned group

1. Private Health Insurance

1. Pension Plan

1. Paid Time Off

1. Training & Development

Note: Benefits differ based on employee level.

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You'll orchestrate complex, multi-use-case strategies spanning Financial Crime, KYC, Fraud, Risk, and Customer Intelligence. You'll engage senior stakeholders up to the C-suite, deliver measurable value, and ensure Quantexa remains a trusted strategic partner to some of the most sophisticated financial institutions in the country.

Responsibilities

• Own and execute account strategy: Develop and deliver a long-term strategic account plan across multiple business units and use cases, balancing growth in a mature account with new customer acquisition.
• C-suite engagement: Build and maintain trusted relationships with executive stakeholders, shaping enterprise data and AI transformation agendas.
• Drive complex enterprise sales cycles: Lead large, multi-year deals that involve cross-functional teams, system integrators, and partners.
• Adopt and champion Quantexa's sales methodology: Execute with discipline, precision, and urgency — from opportunity qualification through to value realization.
• Customer success and experience: Deliver an exceptional customer journey, ensuring alignment between business value, technical outcomes, and client strategy.
• Collaborate cross-functionally: Partner with Solution Engineering, Delivery, Product, and Marketing to ensure cohesive account execution and ongoing customer satisfaction.
• Market intelligence: Stay ahead of industry trends, competitor activity, and regulatory developments influencing banking and data intelligence strategies.

Requirements

• Proven enterprise sales experience within Financial Services, ideally with Tier 1 banks or similar regulated institutions.
• Track record of success driving seven- and eight-figure enterprise deals across software, data, or AI-driven solutions.
• Strategic account leadership: Ability to operate across multiple lines of business and use cases, managing complex stakeholder landscapes.
• Executive presence: Skilled in engaging and influencing C-level decision-makers and technical stakeholders alike.
• High urgency and accountability: You set a high bar, execute with focus, and deliver results under pressure.
• Customer-centric mindset: Deep commitment to delivering business value and exceptional customer experience.
• Collaborative leadership: Experience working in matrixed, global teams with shared accountability.

Benefits

• Competitive salary
• Company bonus
• 12% Superannuation
• 20 days annual leave, plus national holidays + your birthday off!
• Private Healthcare with Medibank, including dental, orthodontics & optics cover
• Regularly bench-marked salary rates
• Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Well-being days
• Volunteer Day off
• Work from Home Equipment
• Novated Leasing
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
• Employee Referral Program
• Team Social Budget & Company-wide Socials

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You will operate at the intersection of digital operations, customer experience, and AI-powered transformation. This role helps drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Experience & Education Requirements

• Overall experience >4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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As a Customer Experience Digital Operations Manager, you will oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements. You will define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.

You will drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback. You will manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.

You will build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc. You will use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.

You will partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution. You will apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.

You will evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service. You will promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.

You will lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations. You will support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Requirements

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Benefits

• Competitive compensation and benefits package:
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >4 years, 2 years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2 years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Defect management
• Triage & Classification
• Defect Monitoring
• Resolution Management
• RCA
• Data Analysis
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Optimization Testing ( A/B Testing )
• Multivariate testing
• Personalization
• Digital Workflow optimization
• Stakeholder collaboration

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

As a Digital Product Operations Manager, you will:

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities:

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills:

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills:

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• CX Operations
• Audit & Governance
• Data Analysis
• Insights & Predictive Analytics
• Root Cause Analysis
• Digital recommendations
• Competitive Analysis
• Personalization
• Agile framework

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

As a FBS Senior Operations Analyst at Capgemini, you will play a key role in driving the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Role Description

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Optimization Testing (A/B Testing)
• Multivariate testing
• Personalization
• Digital Workflow optimization
• Stakeholder collaboration

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Requirements

• Essential Skills:
• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• A second major European language at C2 level is an advantage
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Skills and Qualifications:

Essential Skills:

• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills (English & a second major European language at C2 level)
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now._

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This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud native AI platforms in a highly regulated environment.

Key Responsibilities

• Design, build, and operate AI-focused infrastructure platforms supporting model development, training, evaluation, and inference.
• Engineer scalable, reliable, and secure cloud-native services to support AI workloads across AWS, Azure, and hybrid environments.
• Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems.
• Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards.
• Implement and maintain infrastructure as code and automation to ensure repeatable, auditable platform provisioning.
• Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency.
• Collaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructure.
• Contribute to architectural decisions and technical standards for AI platforms across Aladdin.
• Participate in on-call rotations and operational support as required for critical platforms.
• Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock’s enterprise context.

Qualifications

• Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.
• 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.
• Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster Recovery
• Experience supporting LLMs, generative AI platforms, or model serving infrastructure.
• Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and fine-tuning, experimentation over large datasets, and end-to-end MLOps pipeline flow including data ingestion, training, validation, and deployment.
• Proficiency with Infrastructure as Code tools (e.g., Terraform, ARM/Bicep, CloudFormation).
• Strong programming or scripting skills (e.g., Python, Bash, or similar).
• Experience building and operating containerized and Kubernetes-based platforms.
• Solid understanding of reliability, scalability, observability, and operational best practices.
• Ability to work effectively in cross-functional teams and communicate complex technical concepts clearly.

Our Benefits

To help you stay energized, engaged, and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our Hybrid Work Model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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Pre-Sales Automation & Velocity (Data Solutions Focus)

• Own the end-to-end prospect data integration and proof schedule creation process, seeking opportunities to improve velocity and reduce the overall cycle time.
• Define the roadmap for systems that efficiently and accurately gather high-quality catalog data and behavioral events from prospects, including the development of automated JavaScript code and utilities for live data collection.
• Identify repetitive tasks performed by Engineers and prioritize the integration of advanced technologies (e.g., LLMs and Agents) to automate data collection and processing, ensuring the process scales without proportional resource growth.

Business Case & Results Optimization (Analyst Focus)

• Define the tooling and processes that allow teams to work closely with Account Executives to fine-tune our AI models, ensuring they deliver the most relevant and impactful results for each prospect's unique needs.
• Prioritize and build analytical tools, reports, and dashboards to help Account Executives create better, data-driven demos and provide business case reports and forecasts for potential revenue/conversion lifts for prospects.
• Build systems and solutions that make identifying great examples easier and help AEs tell better stories about how Constructor can help prospects.
• Leverage data exploration and analysis (SQL, Python) to understand user behavior and suggest opportunities for improving our core recommendation and search systems.

Internal Enablement & Cross-Functional Collaboration

• Build robust internal tooling to empower the Sales and Account Executive teams to manage more proof schedule tasks, reducing dependencies on Engineering and Data Analysts.
• Serve as the product liaison, collaborating across Data Analysts, Frontend Engineers, and Account Executives to prioritize evolving prospect needs and secure deals with prominent e-commerce brands.

What You'll Bring

• Experience: 5+ years of Product Management experience, ideally working on B2B SaaS, Data/AI platforms, or complex pre-sales/sales enablement solutions.
• Technical Acumen: Ability to interface effectively with engineers working on JavaScript and data pipelines (ETL) and data analysts proficient in SQL.
• Data & Analytics: Comfortable defining data requirements for BI dashboards and analytical tools, and leveraging massive amounts of data to drive product innovation.
• Customer & Business Focus: Proven experience working directly with customers (prospects) and sales teams to deliver solutions that translate technical capabilities into clear business value and revenue optimization.
• Soft Skills: Excellent communication and interpersonal skills to translate business asks into technical language and vice versa.

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• A competitive compensation package including stock options
• Company sponsored US health coverage (100% paid for employee)
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact

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This role offers the unique opportunity to work on some of the largest scale supercomputers in the world – a rare chance to operate at such a significant scale.

Responsibilities

Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.

Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.

Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.

Develop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.

Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.

Drive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.

Qualifications

Do you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience?

Preferred Qualifications

Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience.

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We are looking for a Partner AI Deployment Engineer (P-ADE) to lead technical delivery with OpenAI partners across EMEA and help scale customer deployments built on the OpenAI platform. This role focuses on working across a wide range of customer use cases, supporting the design, deployment and scaling of production-grade AI solutions delivered through partners.

You will work closely with partner delivery teams, alongside Solutions Engineers (SEs), Forward Deployed Engineers (FDEs) and other ADEs, to move customer engagements from initial design through to stable, scaled production. Your work will accelerate time to value, reduce delivery risk and ensure solutions meet OpenAI’s standards for quality, safety and reliability. You will collaborate closely with GTM, Applied, and Research to support partner-led enterprise adoption.

This role is based in Paris or Munich. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Act as a primary technical delivery partner for a set of OpenAI partners across EMEA, supporting customer deployments across multiple industries and use cases.

• Work with partner delivery teams and customer stakeholders to translate solution designs into deployable, production-ready architectures on the OpenAI platform.

• Support customer time to value through hands-on prototyping, integration support, architectural guidance and troubleshooting during critical phases of delivery.

• Collaborate closely with SEs, FDEs, and other ADEs to ensure the right technical expertise is engaged from design through production rollout.

• Help partners operationalise solutions by addressing scalability, reliability, security and safety considerations required for enterprise production environments.

• Contribute to reusable deployment patterns, reference architectures and delivery guidance that enable repeatable execution across partner engagements.

• Act as a technical quality and governance point during deployments, helping ensure solutions meet OpenAI’s standards and best practices before and after go-live.

• Capture and synthesise feedback from real customer deployments and share insights with Applied, Research and partner teams to improve delivery playbooks and platform capabilities.

You’ll thrive in this role if you:

• Have 8+ years of experience in technical consulting, solution delivery or a similar role, working with senior technical and business leaders on complex enterprise deployments.

• Have experience delivering large, multi-stakeholder technical projects in partnership with boutique services organisations, system integrators or similar delivery environments.

• Have strong hands-on experience building, integrating and operating production software using modern languages such as Python or JavaScript.

• Have designed, deployed and supported Generative AI and or machine learning solutions in real-world production environments.

• Have practical experience working with the OpenAI platform in customer-facing or delivery contexts.

• Are a clear communicator who can work effectively with partner engineers, internal teams and customer stakeholders.

• Take ownership of delivery problems end to end and are comfortable operating in ambiguous, fast-moving environments.

• Bring a collaborative, humble mindset and enjoy working across partners and internal teams to deliver successful customer outcomes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Platform Team at OpenAI owns the foundational data and processing stack powering the OpenAI API and products built on top of it. We innovate on the infrastructure needed to serve the latest models and agentic workflows at an unprecedented pace of growth and scale with high performance and reliability. Join us to build and operate the core platform that underpins OpenAI’s products and allows our customers to deploy AI themselves.

About the Role

This role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You’ll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work—from architecture and implementation to production operations and on-call responsibilities.

Responsibilities

• Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner.

• Design, build, and maintain secure and compliant systems to process sensitive and valuable data.

• Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient.

• Integrate data access and authentication with our production model and agent systems.

• Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities.

• Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents

Requirements

• Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks.

• Are excited to bring the power of AGI to the infrastructure the world runs on today

• Are comfortable with ambiguity and rapid change

• Have an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with others

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft are looking for a talented Principal Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Software Engineer, you will be responsible for architecting scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.
• Build real-time and batch personalization engines that adapt Copilot's behavior.
• Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.

Personal attributes:

• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff, High Performance Computing Engineer at their London office. This role sits at the heart of building and scaling the infrastructure that trains their frontier models and powers the next evolution of their personal AI, Copilot. You'll work directly with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.

About the Role

As a Member of Technical Staff, High Performance Computing Engineer, you will design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings. You will own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale. You will serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.

Accountabilities

• Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
• Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.
• Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters.
• 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.).
• 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

Technical skills:

• Experience with LLM training clusters.
• Experience working with AI platforms, frameworks, and APIs.
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.

Personal attributes:

• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a leading technology company and contribute to HERE's mission.
• Collaborative and dynamic work environment.
• Professional development opportunities.

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Microsoft are looking for a talented MTS - Platform Engineer (Tools) at their Redmond office. This role sits at the heart of designing and optimizing AI Agents that can reason, plan, and take action autonomously. You'll work directly with engineers and AI researchers to design scalable, reliable, and maintainable systems.

About the Role

As a Member of Technical Staff, Platform Tools, you'll design and deliver the primitives that power Copilot and other AI-powered experiences. These building blocks form the backbone of secure, scalable, and reliable workflows that product teams use to craft robust and seamless user experiences. From tool orchestration to performance optimization, you'll deliver fast, secure, and dependable execution that turns Copilot into a true productivity engine.

Accountabilities

• Build secure and performant AI platform services that power Copilot
• Collaborate with engineers and AI researchers to design scalable, reliable, and maintainable systems

The Candidate we're looking for

Experience:

• Bachelor's degree in Computer Science or related technical discipline and 4+ years of technical engineering experience, or equivalent experience

Technical skills:

• Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust

Personal attributes:

• Skilled at designing and operating reliable, high-performance systems, identifying and resolving complex technical issues, and writing clean, maintainable, and secure code

Benefits

• Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year
• Certain roles may be eligible for benefits and other compensation

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Microsoft AI are looking for a talented Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot's intelligence.

About the Role

As a Principal Software Engineer, you will work across Microsoft AI and Copilot teams to build scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proficiency in backend technologies.
• Familiarity with applied AI and its unique challenges.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary.
• Benefits and other compensation.
• Opportunity to work on cutting-edge AI projects.
• Collaborative and inclusive work environment.
• Professional development opportunities.
• Flexible work arrangements.

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Microsoft AI are looking for a talented Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot's intelligence.

About the Role

As a Principal Software Engineer, you will work across Microsoft AI and Copilot teams to build scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proficiency in backend technologies.
• Familiarity with applied AI and its unique challenges.

Personal attributes:

• Methodical approach to problem-solving.
• Ability to identify, analyze, and resolve complex technical issues.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams.

Benefits

• Competitive salary.
• Benefits and other compensation.

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Microsoft AI are looking for a talented Member of Technical Staff, Platform Engineer to join their team in Mountain View. This role sits at the heart of building next-generation AI products and services. You'll work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build world-class consumer experiences and products in a fast-paced environment.

About the Role

As a Member of Technical Staff, Platform Engineer, you will be responsible for building secure and performant AI Platform services that power Copilot. You will work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next-generation AI products and services. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Build secure and performant AI Platform services that power Copilot.
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next-generation AI products and services.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience building web services with coding in languages including, but not limited to: Python, Golang, Java/Scala, Rust.

Technical skills:

• Experience working with AI platforms, frameworks, and APIs.
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.

Personal attributes:

• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.

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Microsoft AI are looking for experienced Member of Technical Staff, High Performance Computing Engineers to help build and scale the infrastructure that trains their frontier models and powers the next evolution of their personal AI, Copilot.

About the Role

This role offers the unique opportunity to work on some of the largest scale supercomputers in the world – a rare chance to operate at such a significant scale. As a Member of Technical Staff, High Performance Computing Engineer, you will design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings. You will own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.

Accountabilities

• Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
• Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters.
• 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.).
• 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

Technical skills:

• Experience with LLM training clusters.
• Experience working with AI platforms, frameworks, and APIs.
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.

Personal attributes:

• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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Microsoft are looking for a talented Senior Software Engineer to join their Microsoft AI, Copilot team in Mountain View. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Software Engineer on the Microsoft AI, Copilot team, you will be responsible for designing and developing distributed systems and APIs that power adaptive, context-aware experiences across Microsoft AI. You will work across Microsoft AI and Copilot teams to build real-time and batch personalization engines that adapt Copilot's behavior. You will also collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals.
• Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience building systems with coding in languages including, but not limited to, Python, C#, C++, Golang, Rust, Java.

Technical skills:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary range of $119,800 - $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements, including remote work options.

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Microsoft AI are looking for a talented Member of Technical Staff - Copilot Data & Insights at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Copilot Data & Insights, you will be responsible for architecting scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights. You will design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features. You will own orchestration, monitoring, and DevOps for critical data workflows. You will design data models and APIs that enable customer loop insights using LLM(s). You will collaborate with privacy, security, and responsible AI teams to ensure customer insight is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights.
• Design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff - Copilot Data & Insights at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Copilot Data & Insights, you will be responsible for architecting scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights. You will design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features. You will own orchestration, monitoring, and DevOps for critical data workflows. You will design data models and APIs that enable customer loop insights using LLM(s). You will collaborate with privacy, security, and responsible AI teams to ensure customer insight is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights.
• Design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff - Copilot Data & Insights at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

This role focuses on building data pipelines, applications on customer-centric, automatically process customers insights using LLM(s) on Copilot and its features, generating insights, on top of Azure environments, dashboards, reporting and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights.
• Design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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Microsoft AI are looking for a talented Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot's intelligence.

About the Role

As a Principal Software Engineer, you will work across Microsoft AI and Copilot teams to build scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

The Candidate we're looking for

Experience:

• 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proficiency in backend technologies.
• Familiarity with applied AI and its unique challenges.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary.
• Benefits and other compensation.
• Opportunities for professional growth and development.
• A positive, inclusive work environment.
• A culture of innovation and collaboration.
• A commitment to diversity, equity, and inclusion.

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Microsoft AI are looking for a talented Senior Software Engineer at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Software Engineer, you will be responsible for architecting scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals. You will design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data. You will also design data models and APIs that enable Copilot to reason about user context, preferences, and history.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals.
• Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience building systems with coding in languages including, but not limited to, Python, C#, C++, Golang, Rust, Java.

Technical skills:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Benefits and other compensation.
• Opportunity to work with a talented team of engineers and contribute to the development of cutting-edge AI technology.
• Professional development opportunities.
• Flexible work arrangements, including remote and hybrid options.

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What you'll do

• Collaborate strategically with Account Executives to enhance the technical aspects of the sales process.
• Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions.
• Craft compelling technical demonstrations that clearly communicate our product's value proposition.
• Create technical enablement resources that amplify our sales team's effectiveness and technical fluency.
• Build self-service tools and documentation that empower customers to implement solutions independently.
• Identify opportunities to productize common integration patterns or features, and work with our product teams to make these real!

What you need

• Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns.
• Excellent communication skills with the ability to adapt messaging to different audiences.
• The successful candidate must be fluent in Spanish to effectively communicate with key partners and stakeholders.

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What you'll do

• Own and execute our reseller, integrator, and consulting partner strategy across the UK & Ireland
• Build and deepen relationships with leading UKI-based systems integrators, consultancies, and reseller partners

What you need

• 5+ years' experience in channel, reseller, or ecosystem partnerships within SaaS, developer tooling, or AI platforms

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What you'll do

You will work closely with Application Security and Red Team engineers, applying an attacker's mindset to AI systems while building scalable security testing, automation, and guardrails that meaningfully reduce risk.

• Perform security testing and reviews of AI-enabled applications, agents, and workflows, including architecture, design, and implementation analysis
• Identify and validate vulnerabilities in LLM-based systems such as data leakage, insecure tool use, authentication gaps, and abuse paths

What you need

• Strong background in application security, offensive security, or a combination of both
• Hands-on experience identifying and exploiting security weaknesses in modern applications and services

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